Software Engineer, Ai & Data Platforms

We’re building a development environment platform that provides consistent, reproducible environment containers for software development and testing. These environments can run on a developer’s local machine or on shared cloud or cluster-based infrastructure, allowing teams to choose the workflow that best fits their needs. Developers use familiar IDEs such as VS Code and JetBrains to edit and debug code while the platform manages environment lifecycle, configuration, and tooling. As a Senior Software Engineer, you’ll work across infrastructure, developer tooling, and IDE integrations to deliver a seamless, high-quality developer experience.

Description

In this role, you will work hands-on designing and building container-based development and test environments that run consistently across local machines and shared cloud infrastructure. Your day-to-day work will involve developing services and tooling to provision, configure, and manage the lifecycle of these environments, as well as collaborating closely with product, DevOps, and security partners to ensure they are reliable, secure, and easy to use. You will regularly build and iterate on IDE extensions and integrations for VS Code and JetBrains IDEs, enabling developers to seamlessly edit, build, and debug code within these environments. You’ll troubleshoot issues across infrastructure, containers, and developer tooling, optimize performance and usability, and help establish best practices for environment definitions, CI/CD integration, and developer onboarding. Throughout your work, you’ll focus on improving the developer experience by making development environments faster to start, easier to understand, and consistent across teams and workflows.

Minimum Qualifications

4+ years experience in Python, Go, TypeScript, Java, or Kotlin. 2+ years experience with Docker and container-based workflows. 2+ years experience deploying and operating services on AWS, Azure, or Google Cloud. BS in computer science or equivalent experience.

Preferred Qualifications

Experience with dev container specifications or similar environment definition standards. Background in platform engineering or developer productivity tooling. Familiarity with Kubernetes and multi-tenant infrastructure. Experience developing IDE extensions or plugins. Experience in VS Code: TypeScript, Node.js, VS Code Extension API. Experience in JetBrains IDEs: Kotlin/Java, IntelliJ Platform SDK. Familiarity with Git, CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform). Understanding of networking, authentication, and secure access patterns for developer tooling. Strong troubleshooting and system design skills.